Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add Lzy599775/agent-auto-sci-skills --skill agent-auto-sci-data-vizgit clone --depth 1 https://github.com/Lzy599775/agent-auto-sci-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/lzy599775/agent-auto-sci-skills/agent-auto-sci-data-viz)<a href="https://agentmods.dev/skills/lzy599775/agent-auto-sci-skills/agent-auto-sci-data-viz"><img src="https://agentmods.dev/badge/skills/lzy599775/agent-auto-sci-skills/agent-auto-sci-data-viz/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/lzy599775/agent-auto-sci-skills/agent-auto-sci-data-viz"><img src="https://agentmods.dev/badge/skills/lzy599775/agent-auto-sci-skills/agent-auto-sci-data-viz.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00106 | $0.00471 |
| Opus 5 | $0.00053 | $0.00235 |
| Sonnet 5 | $0.00021 | $0.00094 |
| Haiku 4.5 | $0.00011 | $0.00047 |
Grade A, and why
agent-auto-sci-data-viz scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Agent Auto Sci Data Viz
Use this subskill whenever data, tables, or figures are central to the output.
Fast Workflow
- Inspect file types and schema.
- Audit missingness, outliers, duplicates, ranges, and units.
- Define each table or figure by the claim it should support.
- Choose statistical tests and effect sizes before writing results.
- Use publication-safe palettes and legible dimensions.
- Export reproducible figures and record code paths.
- Write captions that stand alone.
Read references/data_analysis_visualization_workflows.md.
For full paper projects, this skill owns EDA, statistical-test reporting, robustness visualization, table shells, publication figure planning, figure-title/caption checks, and final visual evidence audits. It should work with agent-auto-sci-geospatial for maps and with agent-auto-sci-scicomm for figure narrative.
For deeper K-Dense-style encapsulation:
references/k_dense_data_viz_mapping.md: how EDA, statistics, scientific visualization, matplotlib, seaborn, and network analysis are adapted.references/review_bibliometric_figure_system.md: figure system for review, bibliometric, policy agenda, and sport geography empirical manuscripts.
Related Helper Skills
exploratory-data-analysisstatistical-analysismatplotlibseabornscientific-visualizationnetworkxxlsx
Must Not Do
- Do not make decorative charts that do not answer a research question.
- Do not choose tests after seeing desired significance.
- Do not use color palettes that fail grayscale or colorblind checks.
- Do not let map/figure aesthetics override evidence clarity.
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 46 lines · 106 tokens per session scan A a8e436cabc66
agent-auto-sci-data-viz is a skill published in the GitHub repository Lzy599775/agent-auto-sci-skills (2 stars, last pushed 3d ago), licensed MIT. It adds 106 tokens to every session and 471 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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